Apple Intelligence on-device transcription is more than twice as fast as OpenAI’s Whisper

Apple Intelligence’s on-device transcription is revolutionizing speech-to-text performance, delivering speeds over twice as fast as OpenAI’s Whisper model. According to hands-on testing detailed by MacStories, Apple’s new speech APIs leverage optimized on-device processing to achieve lightning-fast transcription, setting a new benchmark for efficiency and responsiveness in voice-driven applications.
John Voorhees for MacStories:
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It’s still early days for these technologies, but I’m here to tell you that their speed alone is a game changer for anyone who uses voice transcription to create text from lectures, podcasts, YouTube videos, and more…
What’s frustrated me with other tools is how slow they are. Most are built on Whisper, OpenAI’s open source speech-to-text model, which was released in 2022…
I asked [my son] Finn what it would take to build a command line tool to transcribe video and audio files with SpeechAnalyzer and SpeechTranscriber. He figured it would only take about 10 minutes, and he wasn’t far off. In the end, it took me longer to get around to installing macOS Tahoe after WWDC than it took Finn to build Yap, a simple command line utility that takes audio and video files as input and outputs SRT- and TXT-formatted transcripts.
Yesterday, I finally took the Tahoe plunge and immediately installed Yap. I grabbed the 7GB 4K video version of AppStories episode 441, which is about 34 minutes long, and ran it through Yap. It took just 45 seconds to generate an SRT file.
Next, I ran the same file through VidCap and MacWhisper, using its V2 Large and V3 Turbo models. Here’s how each app and model did:

I fully expect this combination to replace Whisper as the default transcription model for transcription apps on Apple platforms.

MacDailyNews Take: More than twice as fast while maintaining the same degree of accuracy is impressive!

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[Thanks to MacDailyNews Reader “Fred Mertz” for the heads up.]
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